Lore: a database management system for semistructured data
ACM SIGMOD Record
World Wide Web Journal - Special issue on XML: principles, tools, and techniques
Discovering typical structures of documents: a road map approach
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Storing semistructured data with STORED
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Relational Databases for Querying XML Documents: Limitations and Opportunities
VLDB '99 Proceedings of the 25th International Conference on Very Large Data Bases
Enumerating XML data for dynamic updating
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
INode*: an effective approach for storing XML using relational database
International Journal of Web Engineering and Technology
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With the increasing ubiquity of XML, an eXtensible Markup Language, the industry is racing to provide XML infrastructure for e-commerce, information interchange, effective query of diverse sources and yet more integration of diverse data. It is anticipated that large volumes of XML data will be created manually from HTML documents or generated using some WWW tools and electronic data interchange (EDI). In this paper, we examine how large amounts of XML data can be stored in a relational database. Our scheme considers the unique irregular features of XML, including missing elements or multiple occurrences of the same element, and elements which may have atomic values in some data items and structured values in others. A detailed experimental study demonstrates good query performance, effective space utilization and scalability.